Welcome to PolyFrag! Summary: Basics of PolyFrag: Opening the Tool:
|
|
- Reynold Kevin Robbins
- 6 years ago
- Views:
Transcription
1 Welcome to PolyFrag! Copyright: (c) 2013 University of New Hampshire License: Creative Commons Attribution-NonCommercial-ShareAlike (BY-NC-SA) license Author: Meghan Graham MacLean Summary: PolyFrag has been created to calculate the Landscape Metrics of a vector-based land cover map and is designed to be run within the ESRI ArcGIS 10 platform. Recent advances in mapping techniques, such as object-based image analysis (OBIA) have made polygon based maps more prevalent, so this program allows these maps to be assessed without first converting into a raster format. Basics of PolyFrag: PolyFrag in an open source piece of software that computes landscape fragmentation metrics for vector-based land cover maps. The program s script is written in Python, runs in ESRI ArcGIS 10, but can also be customized by anyone with Python scripting knowledge. The script outputs both a fragmentation shapefile showing areas of edge, patch, and core habitat, a statistics file that contains the landscape metrics of each of the input polygons, as well as a text file with all of the class and landscape metrics. Since the software is open source, updates will be done whenever possible, however, there likely will not be a regular schedule of updates. For more information, please contact Meghan using the contact given below. Users are also more than welcome to alter/update/improve the software to meet their needs. Opening the Tool: > Open ArcMap > Open ArcToolbox > Right click on the ArcToolbox folder at the top of the list of toolboxes > Select Add Toolbox > Navigate to PolyFrag.tbx (wherever you saved the program when you downloaded it) and select > Expand the PolyFrag toolbox now found in your ArcToolbox > Double click the PolyFrag script, the tool should now open like any other Arc tool
2 Inputs and Outputs: All inputs and outputs are defined in the tool window in ArcMap (shown below). The program as well as each option have their own set of instructions in the Help window (press the Show Help >> button at the bottom of the window if it is not already shown). Inputs: Input Land Cover Map o The vector land cover map you are analyzing. The map should be a shapefile and have a coordinate system that uses meters or feet. If your map is a raster file or is not projected, please properly prepare your data prior to using PolyFrag. Land Cover Field o The field within the attribute table that defines the land cover type for each object. You will select this field from a list of all fields available in your Input Land Cover Map. Fragmented Classes o The classes being fragmented in the landscape (e.g. Forest). You will select these classes from a list populated using the Land Cover Field. *** WARNING *** if and or = is used in the class label, an error will occur and the buffer values will not be acquired properly. Please re-label your classes if this is the case. Fragmenter Classes
3 o The classes doing the fragmenting in the landscape (e.g. Developed). You will select these classes from a list populated using the Land Cover Field. *** WARNING *** if and or = is used in the class label, an error will occur and the buffer values will not be acquired properly. Please re-label your classes if this is the case. Buffer Values o The string that defines the depth of the edge into a Fragmented Class where it interacts with a Fragmenter Class. The string should follow the following format: Fragmented Class and Fragmenter Class = Edge Depth For example: Forest and Developed = 30 where Forest is the Fragmented Class, Developed is the Fragmenter Class, and the Edge Depth is 30 units (meters or feet depending on the coordinate system). ***WARNING*** You must follow the exact format, including spaces around 'and' and '=' and do not put quotes around your class names. The string is not case sensitive. Also, please include a string for every interaction you are interested in, if there isn't an Edge Depth defined for an interaction between a Fragmented and Fragmenter Class, it is automatically set to zero. Minimum Patch Area o The minimum size of a polygon to be considered core. If the polygon does not meet the minimum patch area requirement it will be labeled patch. Nearest Distance o The maximum distance allowed to locate a polygon with the same label (which can be related to dispersal for different species). This value is used when computing Proximity Metrics. Metrics (optional, choose appropriate metrics) o All metrics are listed below. Please pick the appropriate metrics to compute for your specific study. *** WARNING *** if you select all metrics, PolyFrag may take a very long time when there are many polygons Outputs: Output Fragmented Land Cover Shapefile o The output shapefile that will contain polygons classified as core, edge, etc., as well as some patch-level metrics for the core habitats. The input polygons in Fragmented Classes will be classified as either core, edge, or patch polygons based on their distance to polygons in the Fragmenter Classes and
4 size. Polygons in the Fragmenter Classes will be classified as fragmenting and all other polygons will be classified as matrix. Output Patch Metrics Shapefile o The output shapefile that will contain patch-level metrics for each of the input patches. Output Class and Landscape Metrics Text File o The output text file containing class- and landscape-level metrics. All metrics will be provided in the text file, either under the Class Metrics section and under a specific Fragmented Class, or under the Landscape Metrics section. Fragmentation Metrics: Many of these metrics have been modeled after those present in FRAGSTATS (McGarigal, K., S.A. Cushman, and E. Ene, 2012). However, there are some differences, so please ensure that you read the description of each of the metrics carefully before you use it. Patch Metrics: Metrics Automatically Computed in PolyFrag: Optional Metrics: o This is the area of each polygon and is computed for both the polygons in the output fragmented land cover shapefile, and the output patch metrics shapefile. The output is in either acres or hectares depending on the input units. AREA is output as a new column in each attribute table. o This is the perimeter of each polygon and is computed for both the polygons in the output fragmented land cover shapefile, and the output patch metrics shapefile. PERIM is output as a new column in each attribute table. o PARA is a shape metric than expresses the ratio between perimeter and area of an individual polygon. The metric is computed for both the polygons in the output fragmented land cover shapefile, and the output patch metrics shapefile. PARA is output as a new column in each attribute table.
5 o SHAPE is the Shape Index. SHAPE is a measure of shape complexity of a polygon. In the output patch metrics shapefile, SHAPE is computed for all polygons, whereas SHAPE is only computed for core polygons in the output fragmented land cover shapefile. SHAPE is output as a new column, SHAPES, in each attribute table. ( ) o FRAC is the Fractal Dimension Index. FRAC is also a measure of shape complexity of a polygon. In the output patch metrics shapefile, FRAC is computed for all polygons, whereas FRAC is only computed for core polygons in the output fragmented land cover shapefile. FRAC is output as a new column in each attribute table. ( ) where: o CIRCLE is the Related Circumscribing Circle. CIRCLE is the area of a polygon divided by the smallest circumscribing circle around that polygon. In the output patch metrics shapefile, CIRCLE is computed for all polygons, whereas CIRCLE is only computed for core polygons in the output fragmented land cover shapefile. Both CIRCLE and P_LENGTH are added as new columns to the attribute tables of the two shapefiles. *** WARNING *** CIRCLE may take a long time to compute with many polygons. where: o CAI is the Core Area Index. CAI is the percent of the total area of a particular polygon that is actually considered core habitat. The value will be dependent on how much of the polygon becomes edge. The metric is only computed for the polygons in the output patch metrics shapefile. CAI is output as a new column in the attribute table. where: o NEAR is the Euclidean nearest neighbor distance. NEAR is the distance to the nearest neighboring patch with the same label. In the output patch metrics shapefile, NEAR is computed for all polygons, whereas NEAR is only computed for core polygons in the output fragmented land cover shapefile. NEAR is output as a new column, NEAR_DIST, in each attribute table. *** WARNING *** NEAR may take a long time to compute with many polygons.
6 where: o PROX is the Proximity Index. PROX is the sum of all of the areas of polygon with the same label divided by the distance to each polygon, limited to only those polygons that fall within a maximum search distance (Nearest Distance). In the output patch metrics shapefile, PROX is computed for all polygons, whereas PROX is only computed for core polygons in the output fragmented land cover shapefile. Both PROX and PROX_NUM are added as new columns to the attribute tables of the two shapefiles. *** WARNING *** PROX may take a long time to compute with many polygons, but must be computed to compute CONNECT (see below). Class and Landscape Metrics: Metrics Automatically Computed in PolyFrag (all class and landscape metrics are output in the Class and Landscape Metrics Text File): o CA is the total area of each class. CA is in area units (hectares or acres). o TA is the total area of the landscape (all polygons). TA is in area units (hectares or acres). o PLAND is Percentage of Landscape. PLAND is the percentage of the total landscape each class represents. o NP is the number of patches in each class. o PD is Patch Density. PD is the number of patches in a class per 100 area units.
7 where: ( ) ( ) ( ) o LSI is the Landscape Shape Index. LSI is the total perimeter of all polygons in a single class (in length units) divided by the minimum perimeter possible for the area covered by that class, as computed by the perimeter of a circle with the same area as the total area of the class(es). LSI is unit less. where: ( ) o LPI is the Largest Patch Index. LPI is the percentage of the total landscape area occupied by the largest patch of the class(es) in question. ( ) Optional Metrics: o TE is Total Edge. TE is the sum of the areas (in area units) of all of the polygons classified as edge for the class(es) in question in the output fragmented land cover shapefile. o ED is Edge Density. ED is the percentage of the total landscape area occupied by the edge areas of the class(es) in question. o TCA is Total Core Area. TCA is the sum of the areas (in area units) of all of the polygons classified as core for the class(es) in question in the output fragmented land cover shapefile. o CPLAND is Core Percentage of Landscape. CPLAND is the percentage of the total landscape area occupied by the core areas of the class(es) in question. o PR is Patch Richness. PR is just the total number of classes in the landscape, including any background classes. PR is only a landscape metric. o PRD is Patch Richness Density. PRD is the number of classes per 100 area units. PRD is only a landscape metric.
8 o MESH is the Effective Mesh Size. MESH is a measure of the size of the patches (in area units) if all patches were evenly distributed throughout the landscape (including any background). MESH is only a landscape metric. ( ) o COHESION is the Patch Cohesion Index. COHESION is a measure of the connectedness of the class(es) in question. COHESION is reported as a percent. ( ) o CONNECT is the Connectance Index. CONNECT is the percent of the total number of patches that are patches of the same class(es) in question within a maximum search distance (Nearest Distance). CONNECT is reported as a percent. *** WARNING *** CONNECT may take a long time to compute with many polygons, and PROX must be computed in order to calculate CONNECT. where: o SHDI is Shannon s Diversity Index. SHDI is one measure of diversity used in Landscape Ecology. If SHDI = 0, there is one patch in the landscape, and SHDI 0, without limit. See Farina (2007) for further discussion. o SIDI is Simpson s Diversity Index. SIDI is one measure of diversity used in Community Ecology and is less sensitive to rare patch types than SHDI. The value of SIDI represents the probability that any two polygons selected at random will have different labels. 0 SIDI < 1, where when SIDI = 0, there is only one patch and as SIDI approaches 1, PR increases and the distribution of area among patch types is more even. See Farina (2007) for further discussion. o MSIDI is the Modified Simpson s Diversity Index. MSIDI transforms the SIDI value into a value comparable to SHDI.
9 o SHEI is Shannon s Evenness Index. 0 SHEI 1, where when SHEI = 0, there is only 1 patch, and when SHEI =1, the distribution of area within patch types is completely even. o SIEI is Simpson s Evenness Index. 0 SIEI 1, where when SHEI = 0, there is only 1 patch, and when SIEI =1, the distribution of area within patch types is completely even. o MSIEI is Modified Simpson s Evenness Index. 0 MSIEI 1, where when MSIEI = 0, there is only 1 patch, and when MSIEI =1, the distribution of area within patch types is completely even. References: Farina, A., Principles and Methods in Landscape Ecology: Towards a Science of Landscape. The Netherlands: Springer. McGarigal, K., SA Cushman, and E Ene FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: Compatibility: The code was written with Python 2.6.5, it may not work with earlier versions. PolyFrag is compatible with ESRI's ArcGIS 10 software package. Contact: Meghan Graham MacLean 204 Kriebel Hall Math and Science Division Babson College Babson Park, MA mmaclean@babson.edu
Metric Definitions (Patch Analyst Help Menu)
Metric Definitions (Patch Analyst Help Menu) Class Area Sum of areas of all patches belonging to a given class. Example: Conifer Class Area (CA) = 359047.844+...+65819.984 CA = 69.6626 hectares If the
More informationLandscape Metrics. Prof. Dr. Adrienne Grêt-Regamey Sibyl Brunner Ana Stritih
Landscape Metrics Prof. Dr. Adrienne Grêt-Regamey Sibyl Brunner Ana Stritih Landscape structure Block 2: Landscape assessment (1) Descriptive analysis (2) Comparison of landscapes (3) Comparison of alternatives
More informationWelcome to NR402 GIS Applications in Natural Resources. This course consists of 9 lessons, including Power point presentations, demonstrations,
Welcome to NR402 GIS Applications in Natural Resources. This course consists of 9 lessons, including Power point presentations, demonstrations, readings, and hands on GIS lab exercises. Following the last
More informationAppendix 2: Random Plots Workbook: Unstratified Sample
Appendix 2: Random Plots Workbook: Unstratified Sample These instructions will help users of all skill levels create a random sample of i-tree Eco plot centers, plot areas, and the associated i-tree Eco-required
More informationHow to Calculate Vector-Based Landscape Metrics in ArcGIS
How to Calculate Vector-Based Landscape Metrics in ArcGIS These instructions enable you to calculate metrics comparable to those in FragStats 3.3, but applied to vector shapefiles within the ArcGIS 9 environment.
More informationINTRODUCTION TO GIS WORKSHOP EXERCISE
111 Mulford Hall, College of Natural Resources, UC Berkeley (510) 643-4539 INTRODUCTION TO GIS WORKSHOP EXERCISE This exercise is a survey of some GIS and spatial analysis tools for ecological and natural
More informationMeasuring landscape pattern
Measuring landscape pattern Why would we want to measure landscape patterns? Identify change over time Compare landscapes Compare alternative landscape scenarios Explain processes Steps in Application
More informationMapping Distance and Density
Mapping Distance and Density Distance functions allow you to determine the nearest location of something or the least-cost path to a particular destination. Density functions, on the other hand, allow
More informationMAP ACCURACY ASSESSMENT ISSUES WHEN USING AN OBJECT-ORIENTED APPROACH INTRODUCTION
MAP ACCURACY ASSESSMENT ISSUES WHEN USING AN OBJECT-ORIENTED APPROACH Meghan Graham MacLean, PhD Candidate Dr. Russell G. Congalton, Professor Department of Natural Resources & the Environment University
More informationMatrixGreen: Landscape Ecological Network Analysis Tool User manual
MatrixGreen: Landscape Ecological Network Analysis Tool User manual Örjan Bodin & Andreas Zetterberg Version 0.4, 2012-06- 27 (added support for ArcInfo/ArcMap 10.x) This manual is applicable for MatrixGreen
More informationData Assembly, Part II. GIS Cyberinfrastructure Module Day 4
Data Assembly, Part II GIS Cyberinfrastructure Module Day 4 Objectives Continuation of effective troubleshooting Create shapefiles for analysis with buffers, union, and dissolve functions Calculate polygon
More information4. Once open, activate the ArcToolbox window (if not already visible) by clicking the red box below
Getting Started Downloading The latest version of the toolbox is available for download at: www.sdmtoolbox.org. This software requires ArcMap 10.1 10.5 with an active Spatial Analyst license (www.esri.com).
More informationProximity Analysis. Proximity Analysis
Proximity Analysis Proximity Analysis 1 Ever wonder How close is the nearest gas station? What is the distance between your house and the candy store? What is the shortest route to get to Starbucks? Is
More informationFRAGSTATS USER GUIDELINES
FRAGSTATS USER GUIDELINES Version 3 The main metrics (Connectivity) Background. Connectivity refers to the degree to which a landscape facilitates or impedes ecological flows (e.g., the movement of organisms
More informationGEOGRAPHIC INFORMATION SYSTEMS Lecture 18: Spatial Modeling
Spatial Analysis in GIS (cont d) GEOGRAPHIC INFORMATION SYSTEMS Lecture 18: Spatial Modeling - the basic types of analysis that can be accomplished with a GIS are outlined in The Esri Guide to GIS Analysis
More informationModule 7 Raster operations
Introduction Geo-Information Science Practical Manual Module 7 Raster operations 7. INTRODUCTION 7-1 LOCAL OPERATIONS 7-2 Mathematical functions and operators 7-5 Raster overlay 7-7 FOCAL OPERATIONS 7-8
More informationTutorial 1: Finding and Displaying Spatial Data Using ArcGIS
Tutorial 1: Finding and Displaying Spatial Data Using ArcGIS This tutorial will introduce you to the following: Websites where you may browse to find geospatial information Identifying spatial data, usable
More informationMid-term exam. GIS and Forest Engineering Applications. Week 5. FE 257. GIS and Forest Engineering Applications. Week 5
FE 257. GIS and Forest Engineering Applications Week 5 Week 5 Last week (Chapter 3): Acquiring, creating, and editing GIS s Examining Error Chapter 7 Buffering and other proximity operations Questions?
More informationProtocol for Riparian Buffer Restoration Prioritization in Centre County and Clinton County
Protocol for Riparian Buffer Restoration Prioritization in Centre County and Clinton County Chesapeake Conservancy has developed this methodology to prioritize riparian buffer restoration in Centre County
More informationLesson 8 : How to Create a Distance from a Water Layer
Created By: Lane Carter Advisor: Paul Evangelista Date: July 2011 Software: ArcGIS 10 Lesson 8 : How to Create a Distance from a Water Layer Background This tutorial will cover the basic processes involved
More informationEx. 4: Locational Editing of The BARC
Ex. 4: Locational Editing of The BARC Using the BARC for BAER Support Document Updated: April 2010 These exercises are written for ArcGIS 9.x. Some steps may vary slightly if you are working in ArcGIS
More informationArcGIS Desktop: Introduction to Geoprocessing with ModelBuilder Kevin Armstrong ESRI
ArcGIS Desktop: Introduction to Geoprocessing with ModelBuilder Kevin Armstrong ESRI SERUG 2008 1 What is ModelBuilder? A user-friendly way to automate a series of tools Part of the ArcGIS geoprocessing
More informationGIS LAB 8. Raster Data Applications Watershed Delineation
GIS LAB 8 Raster Data Applications Watershed Delineation This lab will require you to further your familiarity with raster data structures and the Spatial Analyst. The data for this lab are drawn from
More informationModel Builder Tutorial (Automating Suitability Analysis)
Model Builder Tutorial (Automating Suitability Analysis) Model Builder in ArcGIS 10.x Part I: Introduction Part II: Suitability Analysis: A discussion Part III: Launching a Model Window Part IV: A Simple
More informationSpatial Analysis (Vector) II
Spatial Analysis (Vector) II GEOG 300, Lecture 9 Dr. Anthony Jjumba 1 A Spatial Network is a set of geographic locations interconnected in a system by a number of routes is a system of linear features
More informationFinding and Using Spatial Data
Finding and Using Spatial Data Introduction In this lab, you will download two different versions of the National Wetlands Inventory (NWI) dataset for a region of Massachusetts, from a source on the internet.
More informationNRM435 Spring 2017 Accuracy Assessment of GIS Data
Accuracy Assessment Lab Page 1 of 18 NRM435 Spring 2017 Accuracy Assessment of GIS Data GIS data always contains errors hopefully the errors are so small that will do not significantly affect the results
More informationImage Digital Analysis for River Segmentation and Biodiversity Assessment
Image Digital Analysis for River Segmentation and Biodiversity Assessment Joaquin Solana Gutiérrez and Silvia Merino de Miguel School of Forestry Engineering Department of Forestry Management Department
More informationGIS Fundamentals: Supplementary Lessons with ArcGIS Pro
Station Analysis (parts 1 & 2) What You ll Learn: - Practice various skills using ArcMap. - Combining parcels, land use, impervious surface, and elevation data to calculate suitabilities for various uses
More informationNotes: Notes: Notes: Notes:
NR406 GIS Applications in Fire Ecology & Management Lesson 2 - Overlay Analysis in GIS Gathering Information from Multiple Data Layers One of the many strengths of a GIS is that you can stack several data
More informationGIS and Forest Engineering Applications
FE 257. GIS and Forest Engineering Applications Week 3 This week s topics Clip and erase processes Chapter 6 Selecting landscape features in a GIS Chapter 5 GIS Lab3: Determining land use and ownership
More informationGEOG 487 Lesson 7: Step- by- Step Activity
GEOG 487 Lesson 7: Step- by- Step Activity Part I: Review the Relevant Data Layers and Organize the Map Document In Part I, we will review the data and organize the map document for analysis. 1. Unzip
More informationUsing GIS to Site Minimal Excavation Helicopter Landings
Using GIS to Site Minimal Excavation Helicopter Landings The objective of this analysis is to develop a suitability map for aid in locating helicopter landings in mountainous terrain. The tutorial uses
More informationLandscape Ecology. Lab 2: Indices of Landscape Pattern
Introduction In this lab exercise we explore some metrics commonly used to summarize landscape pattern. You will begin with a presettlement landscape entirely covered in forest. You will then develop this
More informationField-Scale Watershed Analysis
Conservation Applications of LiDAR Field-Scale Watershed Analysis A Supplemental Exercise for the Hydrologic Applications Module Andy Jenks, University of Minnesota Department of Forest Resources 2013
More informationA GIS add-in for automated measurement of sand dune migration using multi-temporal and high-resolution digital elevation models.
A GIS add-in for automated measurement of sand dune migration using multi-temporal and high-resolution digital elevation models User s Guide Please send comments/suggestions to: Pinliang Dong 1155 Union
More informationCSTools Guide (for ArcGIS version 10.2 and 10.3)
CSTools Guide (for ArcGIS version 10.2 and 10.3) 1. Why to use Orientation Analysis and Cross section tools (CSTools) in ArcGIS? 2 2. Data format 2 2.1 Coordinate Systems 2 3. How to get the tools into
More informationExercise One: Estimating The Home Range Of An Individual Animal Using A Minimum Convex Polygon (MCP)
--- Chapter Three --- Exercise One: Estimating The Home Range Of An Individual Animal Using A Minimum Convex Polygon (MCP) In many populations, different individuals will use different parts of its range.
More informationThe behavior of landscape metrics commonly used in the study of habitat fragmentation
Landscape Ecology 13: 167 186, 1998. 167 c 1998 Kluwer Academic Publishers. Printed in the Netherlands. The behavior of landscape metrics commonly used in the study of habitat fragmentation Christina D.
More informationGIS Basics for Urban Studies
GIS Basics for Urban Studies Date: March 21, 2018 Contacts: Mehdi Aminipouri, Graduate Peer GIS Faciliator, SFU Library (maminipo@sfu.ca) Keshav Mukunda, GIS & Map Librarian Librarian for Geography (kmukunda@sfu.ca)
More informationCreating and Editing a New Shapefile
Creating and Editing a New Shapefile Written by Barbara Parmenter, revised October, 0 CREATING AND EDITING A NEW SHAPEFILE... CREATING THE GEOGRAPHIC FEATURE (POINT, LINE, OR POLYGON)... CREATING THE ATTRIBUTE
More informationPriming the Pump Stage II
Priming the Pump Stage II Modeling and mapping concentration with fire response networks By Mike Price, Entrada/San Juan, Inc. The article Priming the Pump Preparing data for concentration modeling with
More informationTable of Contents. Krista White GIS Support Specialist x 3926 Office HS 104 T, Th 8:00AM-12:00PM, 1:00PM-4:00PM F 8:00-11:30AM
1 Create Visually Stunning Maps with the Cartograms Tool Cartograms are a method of displaying geospatial data as totals, wherein data are displayed with both color and area as a function of their values.
More informationSelect the Parks within Forest Acres
Select the Parks within Forest Acres TASKS RESULT 1. Add the county boundary, municipalities and parks (pts.) layers to your map 2. Save your map (.mxd) to your desktop Your map should look something like
More informationWatershed Sciences 4930 & 6920 ADVANCED GIS
Slides by Wheaton et al. (2009-2014) are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License Watershed Sciences 4930 & 6920 ADVANCED GIS VECTOR ANALYSES Joe Wheaton
More informationLayer Variables for RSF-type Modelling Applications
Layer Variables for RSF-type Modelling Applications These instructions for ArcGIS 9.x enable you to create expressions for use in Spatial Analyst s Raster Calculator that result in output grids of continuous
More informationCopyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
CHAPTER 11 VECTOR DATA ANALYSIS 11.1 Buffering 11.1.1 Variations in Buffering Box 11.1 Riparian Buffer Width 11.1.2 Applications of Buffering 11.2 Overlay 11.2.1 Feature Type and Overlay 11.2.2 Overlay
More informationLab Exercise 6: Vector Spatial Analysis
Massachusetts Institute of Technology Department of Urban Studies and Planning 11.520: A Workshop on Geographic Information Systems 11.188: Urban Planning and Social Science Laboratory Lab Exercise 6:
More informationUrban vs Rural Selection Tool
Urban vs Rural Selection Tool This tool was developed to aid in determination of whether a project/facility location is considered to be urban or rural per EPA s guidance. The tool allows the identification
More informationPrioritizing Land with GIS for Environmental Quality Incentives Program (EQIP) Funding Derya Özgöç Çağlar and Richard L.
Page 1 of 13 Prioritizing Land with GIS for Environmental Quality Incentives Program (EQIP) Funding Derya Özgöç Çağlar and Richard L. Farnsworth APPENDIX: GIS Application This exercise will guide you through
More informationTable of Contents. 1. Prepare Data for Input. CVEN 2012 Intro Geomatics Final Project Help Using ArcGIS
Table of Contents 1. Prepare Data for Input... 1 2. ArcMap Preliminaries... 2 3. Adding the Point Data... 2 4. Set Map Units... 3 5. Styling Point Data: Symbology... 4 6. Styling Point Data: Labels...
More informationInstruction Manual for SilvAssist for ArcGIS
Instruction Manual for SilvAssist for ArcGIS Version 2.0 Table of Contents Introduction..II Preparing to use SilvAssist..1-3 Plot Allocator Menu Definitions and Use.....4 General Use and Setup....5-7 Auto
More informationGIS Exercise 10 March 30, 2018 The USGS NCGMP09v11 tools
GIS Exercise 10 March 30, 2018 The USGS NCGMP09v11 tools As a result of the collaboration between ESRI (the manufacturer of ArcGIS) and USGS, ESRI released its Geologic Mapping Template (GMT) in 2009 which
More informationGIS Workshop Spring 2016
1/ 14 GIS Geographic Information System. An integrated collection of computer software and data used to view and manage information about geographic places, analyze spatial relationships, and model spatial
More informationRaster Data. James Frew ESM 263 Winter
Raster Data 1 Vector Data Review discrete objects geometry = points by themselves connected lines closed polygons attributes linked to feature ID explicit location every point has coordinates 2 Fields
More informationModelBuilder: An Introduction. Kevin Armstrong
ModelBuilder: An Introduction Kevin Armstrong What is ModelBuilder? A user-friendly way to automate a series of tools Part of the ArcGIS geoprocessing framework - ModelBuilder can run any tool in the ArcToolbox,
More informationSetting Up Your Working Environment
Setting Up Your Working Environment What are the topics? - Setting Up Your Working Environment - What is a feature class? ArcGIS Program Modules ArcScene ArcGIS ArcGlobe ArcCatalog ArcMap ArcToolbox Program
More informationLAB 9: Buffering and Overlay in ArcGIS - ArcMAP
LAB 9: Buffering and Overlay in ArcGIS - ArcMAP What You ll Learn: to apply the concepts of buffering and overlay, two common cartographic operations. You should read chapter 9 in the GIS Fundamentals
More informationGeocoding Reference USA data in ArcMap 9.3
Tufts GIS Tip Sheet Geocoding Reference USA data in ArcMap 9.3 Written by Barbara Parmenter Revised 3/1/2011 In this exercise, you will map businesses or services for a town in the Boston metropolitan
More informationGIS IN ECOLOGY: MORE RASTER ANALYSES
GIS IN ECOLOGY: MORE RASTER ANALYSES Contents Introduction... 2 More Raster Application Functions... 2 Data Sources... 3 Tasks... 4 Raster Recap... 4 Viewshed Determining Visibility... 5 Hydrology Modeling
More informationSetup Guide for Op Tracker
Setup Guide for Op Tracker Contents 1 Welcome to Op Tracker... 2 2 Data Overview... 3 2.1 Block Boundary Feature Layer... 3 2.2 Block Tracking Feature Layer... 3 2.3 Ancillary Data Feature Layer... 3 2.4
More informationv SMS 12.2 Tutorial GIS Requirements GIS Module Map Module ArcGis (Optional) Time minutes Prerequisites None Objectives
v. 12.2 SMS 12.2 Tutorial Objectives This tutorial demonstrates how to read in data, visualize it, and convert it into SMS coverage data that could be used to build a numeric model. This tutorial will
More informationBasics of Using LiDAR Data
Conservation Applications of LiDAR Basics of Using LiDAR Data Exercise #2: Raster Processing 2013 Joel Nelson, University of Minnesota Department of Soil, Water, and Climate This exercise was developed
More informationRaster images generalization in the context of research on the structure of landscape and geodiversity
2014, vol. 40 (3): 271 284 Raster images generalization in the context of research on the structure of landscape and geodiversity Tomasz Bartuś AGH University of Science and Technology, Faculty of Geology,
More informationGIS IN ECOLOGY: ANALYZING VECTOR DATA
GIS IN ECOLOGY: ANALYZING VECTOR DATA Contents Introduction... 3 Tools and Functionality for Vector Data... 3 Course Data Sources... 4 Instructions for Copying the Course Dataset... 4 Tasks... 4 Getting
More informationAnalytical and Computer Cartography Winter Lecture 9: Geometric Map Transformations
Analytical and Computer Cartography Winter 2017 Lecture 9: Geometric Map Transformations Cartographic Transformations Attribute Data (e.g. classification) Locational properties (e.g. projection) Graphics
More informationSoil texture: based on percentage of sand in the soil, partially determines the rate of percolation of water into the groundwater.
Overview: In this week's lab you will identify areas within Webster Township that are most vulnerable to surface and groundwater contamination by conducting a risk analysis with raster data. You will create
More informationv SMS 13.0 Tutorial GIS P Prerequisites Time Requirements Objectives
v. 13.0 SMS 13.0 Tutorial Objectives This tutorial demonstrates how to import data, visualize it, and convert it into SMS coverage data that could be used to build a numeric model. This tutorial will instruct
More informationLecture 7 Digitizing. Dr. Zhang Spring, 2017
Lecture 7 Digitizing Dr. Zhang Spring, 2017 Model of the course Using and making maps Navigating GIS maps Map design Working with spatial data Geoprocessing Spatial data infrastructure Digitizing File
More informationSilvAssist 3.5 Instruction Manual Instruction Manual for the SilvAssist Toolbar For ArcGIS. Version 3.5
Instruction Manual for the SilvAssist Toolbar For ArcGIS Version 3.5 1 2 Contents Introduction... 5 Preparing to Use SilvAssist... 6 Polygon Selection... 6 Plot Allocator... 7 Requirements:... 7 Operation...
More informationMaking Yield Contour Maps Using John Deere Data
Making Yield Contour Maps Using John Deere Data Exporting the Yield Data Using JDOffice 1. Data Format On Hard Drive 2. Start program JD Office. a. From the PC Card menu on the left of the screen choose
More informationModule 10 Data-action models
Introduction Geo-Information Science Practical Manual Module 10 Data-action models 10. INTRODUCTION 10-1 DESIGNING A DATA-ACTION MODEL 10-2 REPETITION EXERCISES 10-6 10. Introduction Until now you have
More informationUsing analytical tools in ArcGIS Online to determine where populations vulnerable to flooding and landslides exist in Boulder County, Colorado.
Using analytical tools in ArcGIS Online to determine where populations vulnerable to flooding and landslides exist in Boulder County, Colorado. Estimated Time to complete: 1-2 hours Learning Objective:
More informationHands-on GIS Project Watershed land use changes Smart Growth?
Hands-on GIS Project Watershed land use changes 1995 2007 Smart Growth? Introduction New Jersey smart growth strategies aim at growing communities in a way that preserves open spaces, minimizes pollution
More informationGraphic Display of Vector Object
What is GIS? GIS stands for Geographic Information Systems, although the term Geographic Information Science is gaining popularity. A GIS is a software platform for storing, organizing, viewing, querying,
More informationMasking Lidar Cliff-Edge Artifacts
Masking Lidar Cliff-Edge Artifacts Methods 6/12/2014 Authors: Abigail Schaaf is a Remote Sensing Specialist at RedCastle Resources, Inc., working on site at the Remote Sensing Applications Center in Salt
More informationGetting Started with Spatial Analyst. Steve Kopp Elizabeth Graham
Getting Started with Spatial Analyst Steve Kopp Elizabeth Graham Spatial Analyst Overview Over 100 geoprocessing tools plus raster functions Raster and vector analysis Construct workflows with ModelBuilder,
More informationv SMS 11.1 Tutorial GIS Requirements GIS Module Map Module ArcGis (Optional) Time minutes Prerequisites None Objectives
v. 11.1 SMS 11.1 Tutorial GIS Objectives This tutorial demonstrates how you can read in GIS data, visualize it, and convert it into SMS coverage data that could be used to build a numeric model. We will
More informationRASTER ANALYSIS S H A W N L. P E N M A N E A R T H D A T A A N A LY S I S C E N T E R U N I V E R S I T Y O F N E W M E X I C O
RASTER ANALYSIS S H A W N L. P E N M A N E A R T H D A T A A N A LY S I S C E N T E R U N I V E R S I T Y O F N E W M E X I C O TOPICS COVERED Spatial Analyst basics Raster / Vector conversion Raster data
More informationNew Media in Landscape Architecture: Advanced GIS
New Media in Landscape Architecture: Advanced GIS - Projections and Transformations - Version 10.2, English ANHALT UNIVERSITY OF APPLIED SCIENCES Hochschule Anhalt Author: Dr. Matthias Pietsch Tutorial-Version:
More informationUSER GUIDE FOR THE LPC-RWP ESTIMATOR TOOLS
USER GUIDE FOR THE LPC-RWP ESTIMATOR TOOLS INTRODUCTION The Lesser Prairie-Chicken (LPC) Estimation Toolbox was created as a means for users to calculate estimates of potential impact costs to LPC habitat.
More informationv SMS 12.1 Tutorial GIS Requirements GIS Module Map Module ArcGis (Optional) Time minutes Prerequisites None Objectives
v. 12.1 SMS 12.1 Tutorial Objectives This tutorial demonstrates how to read in data, visualize it, and convert it into SMS coverage data that could be used to build a numeric model. This tutorial will
More informationRaster Data Model & Analysis
Topics: 1. Understanding Raster Data 2. Adding and displaying raster data in ArcMap 3. Converting between floating-point raster and integer raster 4. Converting Vector data to Raster 5. Querying Raster
More informationFiles Used in This Tutorial. Background. Feature Extraction with Example-Based Classification Tutorial
Feature Extraction with Example-Based Classification Tutorial In this tutorial, you will use Feature Extraction to extract rooftops from a multispectral QuickBird scene of a residential area in Boulder,
More informationPond Distance and Habitat for use in Wildlife Modeling
Pond Distance and Habitat for use in Wildlife Modeling These instructions enable you to aggregate layers within a study area, calculate new fields, and create new data out of existing data, for use in
More informationGeography 281 Map Making with GIS Project Three: Viewing Data Spatially
Geography 281 Map Making with GIS Project Three: Viewing Data Spatially This activity introduces three of the most common thematic maps: Choropleth maps Dot density maps Graduated symbol maps You will
More informationMeasuring the Lengths of Receiving Polygon Edges
Measuring the Lengths of Receiving Polygon Edges These instructions enable you to create shapefiles that represent the edge along a receiving polygon that may then be used in the analysis of potential
More informationData Assembling Topics:
Topics: 1. GPX to Shape file 2. Data conversion with FME 3. Create a polygon feature 4. Merging /Appending data into a new dataset 5. Reproject data from one coordinate system to another 6. Data clipping
More informationGeorge Mason University Department of Civil, Environmental and Infrastructure Engineering
George Mason University Department of Civil, Environmental and Infrastructure Engineering Dr. Celso Ferreira Prepared by Lora Baumgartner December 2015 Revised by Brian Ross July 2016 Exercise Topic: GIS
More informationDelineating Watersheds from a Digital Elevation Model (DEM)
Delineating Watersheds from a Digital Elevation Model (DEM) (Using example from the ESRI virtual campus found at http://training.esri.com/courses/natres/index.cfm?c=153) Download locations for additional
More informationChapter 17 Creating a New Suit from Old Cloth: Manipulating Vector Mode Cartographic Data
Chapter 17 Creating a New Suit from Old Cloth: Manipulating Vector Mode Cartographic Data Imagine for a moment that digital cartographic databases were a perfect analog of the paper map. Once you digitized
More informationLower Mississippi Valley Joint Venture On-line Reforestation Tracking System (e-rts) e RTS. e-rts Manual Version 1.3.i
Lower Mississippi Valley Joint Venture On-line Reforestation Tracking System (e-rts) e RTS e-rts Manual Version 1.3.i Edited by: Jeremy Shane White 6/28/2006 e-rts Manual Table of Contents User s Guide
More informationBasic Queries Exercise - Haiti
Basic Queries Exercise - Haiti Written by Barbara Parmenter, revised by Carolyn Talmadge on September 18, 2016 SETTING UP... 1 WHERE ARE THE HOSPITALS THAT ARE STILL OPERATING? (SELECT BY ATTRIBUTE )...
More informationRaster Suitability Analysis: Siting a Wind Farm Facility North Of Beijing, China
Raster Suitability Analysis: Siting a Wind Farm Facility North Of Beijing, China Written by Gabriel Holbrow and Barbara Parmenter, revised on10/22/2018 for 10.6.1 Raster Suitability Analysis: Siting a
More informationTip Sheet for Select Query Tools in ArcGIS 9.2
Tip Sheet for Select Query Tools in ArcGIS 9.2 Overview The ArcGIS methods for selecting features are: 1. Interactive selection by point and click (or draw box) with the select tool http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?topicname=selecting_features_interactively
More informationSuitability Modeling with GIS
Developed and Presented by Juniper GIS 1/33 Course Objectives What is Suitability Modeling? The Suitability Modeling Process Cartographic Modeling GIS Tools for Suitability Modeling Demonstrations of Models
More informationName: Date: June 27th, 2011 GIS Boot Camps For Educators Lecture_3
Name: Date: June 27th, 2011 GIS Boot Camps For Educators Lecture_3 Practical: Creating and Editing Shapefiles Using Straight, AutoComplete and Cut Polygon Tools Use ArcCatalog to copy data files from:
More informationWorking with Attribute Data and Clipping Spatial Data. Determining Land Use and Ownership Patterns associated with Streams.
GIS LAB 3 Working with Attribute Data and Clipping Spatial Data. Determining Land Use and Ownership Patterns associated with Streams. One of the primary goals of this course is to give you some hands-on
More informationPolygon Analysis. Download and unzip the personal geodatabase polygon_analysis_lab.mdb from.
NRM435 Spring 2019 Page 1 of 11 Polygon Analysis Download and unzip the personal geodatabase polygon_analysis_lab.mdb from /data/ The personal geodatabase contains five feature datasets.create an Arcmap
More informationLab 7c: Rainfall patterns and drainage density
Lab 7c: Rainfall patterns and drainage density This is the third of a four-part handout for class the last two weeks before spring break. Due: Be done with this by class on 11/3. Task: Extract your watersheds
More information